Resources to Start Learning R Language
Into BI domain for a beginner, another must-visit destination in the journey is the R language. R is a programming language for data scientists, data miners and data analysts. By that, what I mean to say is that R is extensively used by all those whose job revolves around data and its statistical analysis.
It is possible to learn R language on our own. Although you need not be a prodigy in programming (which, I definitely am not) in order to learn it, some acquaintance with computer programming would help. That being said, I always believe in life that if you want to learn something without much pre-requisite knowledge of any kind but with all of your heart, you can do it anyways.
So, leaning on to that belief I present here some good ways that can introduce you to the very powerful R language.
DataCamp is a very good resource to start learning R. It has a categorized the chapters into specific topics. They offer a good description of a concept and also present you with hands-on practical examples/exercises simultaneously.
CodeSchool offers a course in R language, which is sponsored by O’Reilly Publications. This tutorial is a very brief one that is capable of introducing you to the very basic concepts of the language, including creating graphs that involve the statistics concepts such as Mean, Median and Standard Deviation.
If you’re the kind of person that would be more comfortable with a classroom kind-of course, then rather than going to the above mentioned web tutorials, you can enroll for free in the Coursera’s R Programming course.
Coursera is one of the world renowned MOOC resources, so I’m sure it will do justice in teaching you R language.
That’s it, only three.
I didn’t go into long listing of websites that can interactively teach you R, and restricted myself to only three because too much of something is good for nothing. And also I strongly feel that it is better to get the gist of R from these websites and then go diving into it with your own boat and in your own way. That way you would learn anything a lot more deeply any pre-structured website can ever teach you. Moreover, R is such a language with such a depth of its own that no website can fully teach you all of its nuances.
The first two websites have online compilers incorporated into them, but if you really want to learn R in depth, you would surely want to explore it further on your own computer.
So, here are the two things that would help you do so, comfortably.
1. First, download and Install R
2. And then also install R Studio IDE for R
That’s for a start.
I leave you here, now you ‘R’ on your own. Goodluck!
